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    Multi-Resolution, Model Based Segmentation of MR Angiograms

    Summers, P., Bhalerao, A.H. and Hawkes, D. (1997) Multi-Resolution, Model Based Segmentation of MR Angiograms. Journal of Magnetic Resonance Imaging, 7 (6). pp. 950-957. ISSN 1053-1807

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      Abstract

      Over the past decade, the quality of magnetic resonance angiograms has risen substantially with their clinical utility being progressively demonstrated. This acceptance has created a need for tools with which to summarize and display the information available. We have used a model based segmentation technique to extract vascular morphology and local flow parameters from phase contrast magnetic resonance angiograms. A multiresolution data structure is used as the basis of recursive decision-making to identify regions of blood flow. The resulting data representation allows more efficient data handling in subsequent processing and visualisation, and is directly applicable to the creation of a connected graph model of vascular regions. We describe this flow feature extraction algorithm and demonstrate the utility of the results.

      Item Type: Article
      Uncontrolled Keywords: pcav hpsg image signal processing magnetic resonance angiogram
      Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
      Divisions: Faculty of Science > Computer Science
      Depositing User: Simon Hammond
      Date Deposited: 14 Jun 2011 09:49
      Last Modified: 23 Feb 2012 09:09
      URI: http://eprints.dcs.warwick.ac.uk/id/eprint/738

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